Difficulty trying to apply more than one constraint to optimization

[tmabdev]

Hi !

I am having troubles trying to apply multiple constraints to my design variables. To reproduce my case :

1. create a problem with 4 variables, 2 objectives and 2 constraints
2. create a constraint.py file with constraints x1 - x2 and x1 - x3
3. try to generate samples (5 in my example), an error pop :

I think the problem comes from the evaluate_feasible() in problem.py, more specifically this call to pymoo when G contains multiple constraint evaluations :

Problem.calc_constraint_violation(np.column_stack(np.atleast_2d(G))).

If you need more informations please tell me.

[yunshengtian]

Hi,

Thank you so much for the bug report! Yes indeed here the column_stack call is not necessary. I have fixed that in my most recent commit just now.

[tmabdev]

Hi,

Many thanks, it appears ok to me !